Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	10840
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.4 MiB
Average record size in memory	136.0 B

Variable types

Numeric	9
Categorical	8

Warnings

`App` has a high cardinality: 9659 distinct values	High cardinality
`Genres` has a high cardinality: 119 distinct values	High cardinality
`Last Updated` has a high cardinality: 1377 distinct values	High cardinality
`Current Ver` has a high cardinality: 2831 distinct values	High cardinality
`Reviews` is highly correlated with `Installs`	High correlation
`Installs` is highly correlated with `Reviews`	High correlation
`Reviews_log` is highly correlated with `Installs_log`	High correlation
`Installs_log` is highly correlated with `Reviews_log`	High correlation
`Reviews` is highly correlated with `Installs` and 2 other fields	High correlation
`Installs` is highly correlated with `Reviews` and 2 other fields	High correlation
`Price` is highly correlated with `Earnings`	High correlation
`Earnings` is highly correlated with `Price`	High correlation
`Reviews_log` is highly correlated with `Reviews` and 2 other fields	High correlation
`Installs_log` is highly correlated with `Reviews` and 2 other fields	High correlation
`df_index` is highly correlated with `Price` and 1 other fields	High correlation
`Rating` is highly correlated with `Price` and 1 other fields	High correlation
`Reviews` is highly correlated with `Installs` and 4 other fields	High correlation
`Size` is highly correlated with `Price` and 1 other fields	High correlation
`Installs` is highly correlated with `Reviews` and 4 other fields	High correlation
`Price` is highly correlated with `df_index` and 5 other fields	High correlation
`Earnings` is highly correlated with `df_index` and 6 other fields	High correlation
`Reviews_log` is highly correlated with `Reviews` and 3 other fields	High correlation
`Installs_log` is highly correlated with `Reviews` and 2 other fields	High correlation
`df_index` is highly correlated with `Category` and 1 other fields	High correlation
`Reviews` is highly correlated with `Installs` and 1 other fields	High correlation
`Installs` is highly correlated with `Reviews` and 2 other fields	High correlation
`Content Rating` is highly correlated with `Category`	High correlation
`Size` is highly correlated with `Android Ver`	High correlation
`Android Ver` is highly correlated with `Size`	High correlation
`Reviews_log` is highly correlated with `Reviews` and 2 other fields	High correlation
`Category` is highly correlated with `df_index` and 1 other fields	High correlation
`Installs_log` is highly correlated with `df_index` and 2 other fields	High correlation
`Price` is highly skewed (γ1 = 23.70739238)	Skewed
`Earnings` is highly skewed (γ1 = 57.6434555)	Skewed
`df_index` is uniformly distributed	Uniform
`App` is uniformly distributed	Uniform
`df_index` has unique values	Unique
`Reviews` has 596 (5.5%) zeros	Zeros
`Price` has 10040 (92.6%) zeros	Zeros
`Earnings` has 10050 (92.7%) zeros	Zeros
`Reviews_log` has 596 (5.5%) zeros	Zeros

Reproduction

Analysis started	2021-08-29 19:45:13.087113
Analysis finished	2021-08-29 19:45:32.444135
Duration	19.36 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	10840
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5419.533948

Minimum	0
Maximum	10840
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	541.95
Q1	2709.75
median	5419.5
Q3	8129.25
95-th percentile	10297.05
Maximum	10840
Range	10840
Interquartile range (IQR)	5419.5

Descriptive statistics

Standard deviation	3129.439605
Coefficient of variation (CV)	0.5774370332
Kurtosis	-1.199927086
Mean	5419.533948
Median Absolute Deviation (MAD)	2710
Skewness	5.86343578 × 10^-5
Sum	58747748
Variance	9793392.239
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6319	1	< 0.1%
1735	1	< 0.1%
1665	1	< 0.1%
3222	1	< 0.1%
5673	1	< 0.1%
4257	1	< 0.1%
5655	1	< 0.1%
1726	1	< 0.1%
1730	1	< 0.1%
1733	1	< 0.1%
Other values (10830)	10830	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
10840	1	< 0.1%
10839	1	< 0.1%
10838	1	< 0.1%
10837	1	< 0.1%
10836	1	< 0.1%
10835	1	< 0.1%
10834	1	< 0.1%
10833	1	< 0.1%
10832	1	< 0.1%
10831	1	< 0.1%

App
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	9659
Distinct (%)	89.1%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

ROBLOX	9
CBS Sports App - Scores, News, Stats & Watch Live	8
Duolingo: Learn Languages Free	7
Candy Crush Saga	7
ESPN	7
Other values (9654)	10802

Length

Max length	194
Median length	21
Mean length	22.51743542
Min length	1

Characters and Unicode

Total characters	244089
Distinct characters	478
Distinct categories	18 ?
Distinct scripts	16 ?
Distinct blocks	29 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8861 ?
Unique (%)	81.7%

Sample

1st row	BJ Bridge Standard American 2018
2nd row	Thistletown CI
3rd row	FE Mechanical Engineering Prep
4th row	Clarksburg AH
5th row	CJ DVD Rentals

Common Values

Value	Count	Frequency (%)
ROBLOX	9	0.1%
CBS Sports App - Scores, News, Stats & Watch Live	8	0.1%
Duolingo: Learn Languages Free	7	0.1%
Candy Crush Saga	7	0.1%
ESPN	7	0.1%
8 Ball Pool	7	0.1%
slither.io	6	0.1%
Zombie Catchers	6	0.1%
Nick	6	0.1%
Sniper 3D Gun Shooter: Free Shooting Games - FPS	6	0.1%
Other values (9649)	10771	99.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	2823	6.6%
for	560	1.3%
free	514	1.2%
app	332	0.8%
and	283	0.7%
the	270	0.6%
mobile	222	0.5%
news	195	0.5%
video	194	0.5%
live	194	0.5%
Other values (9548)	36991	86.9%

Most occurring characters

Value	Count	Frequency (%)
	31738	13.0%
e	19418	8.0%
a	14836	6.1%
o	13636	5.6%
r	13241	5.4%
i	12140	5.0%
t	10334	4.2%
n	9846	4.0%
s	8716	3.6%
l	8546	3.5%
Other values (468)	101638	41.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	154480	63.3%
Uppercase Letter	47206	19.3%
Space Separator	31739	13.0%
Other Punctuation	4082	1.7%
Dash Punctuation	2675	1.1%
Decimal Number	2381	1.0%
Close Punctuation	350	0.1%
Open Punctuation	346	0.1%
Other Letter	341	0.1%
Other Symbol	232	0.1%
Other values (8)	257	0.1%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
ا	13	3.8%
ر	9	2.6%
ل	7	2.1%
イ	6	1.8%
인	6	1.8%
ゲ	5	1.5%
ب	5	1.5%
ق	5	1.5%
ح	5	1.5%
카	4	1.2%
Other values (214)	276	80.9%

Lowercase Letter

Value	Count	Frequency (%)
e	19418	12.6%
a	14836	9.6%
o	13636	8.8%
r	13241	8.6%
i	12140	7.9%
t	10334	6.7%
n	9846	6.4%
s	8716	5.6%
l	8546	5.5%
c	4924	3.2%
Other values (71)	38843	25.1%

Uppercase Letter

Value	Count	Frequency (%)
C	4227	9.0%
S	3850	8.2%
A	3236	6.9%
B	3040	6.4%
P	2875	6.1%
F	2839	6.0%
D	2805	5.9%
T	2716	5.8%
M	2705	5.7%
E	2500	5.3%
Other values (39)	16413	34.8%

Other Symbol

Value	Count	Frequency (%)
™	99	42.7%
®	56	24.1%
🔥	6	2.6%
🍀	6	2.6%
★	5	2.2%
❤	5	2.2%
°	4	1.7%
♥	4	1.7%
🎨	3	1.3%
✨	3	1.3%
Other values (34)	41	17.7%

Other Punctuation

Value	Count	Frequency (%)
:	999	24.5%
&	979	24.0%
,	901	22.1%
.	587	14.4%
'	225	5.5%
!	150	3.7%
/	128	3.1%
?	39	1.0%
#	17	0.4%
"	13	0.3%
Other values (9)	44	1.1%

Decimal Number

Value	Count	Frequency (%)
0	463	19.4%
2	452	19.0%
1	440	18.5%
3	279	11.7%
8	203	8.5%
4	175	7.3%
5	112	4.7%
7	111	4.7%
6	79	3.3%
9	67	2.8%

Math Symbol

Value	Count	Frequency (%)
+	133	67.9%
\|	51	26.0%
~	5	2.6%
>	2	1.0%
∞	1	0.5%
≡	1	0.5%
↔	1	0.5%
×	1	0.5%
｜	1	0.5%

Nonspacing Mark

Value	Count	Frequency (%)
️	5	38.5%
्	2	15.4%
্	1	7.7%
ិ	1	7.7%
ី	1	7.7%
ိ	1	7.7%
်	1	7.7%
္	1	7.7%

Spacing Mark

Value	Count	Frequency (%)
া	4	26.7%
ং	2	13.3%
ा	2	13.3%
ি	2	13.3%
ា	2	13.3%
ो	1	6.7%
ো	1	6.7%
ឿ	1	6.7%

Dash Punctuation

Value	Count	Frequency (%)
-	2502	93.5%
–	146	5.5%
—	21	0.8%
－	2	0.1%
‐	2	0.1%
―	1	< 0.1%
〜	1	< 0.1%

Open Punctuation

Value	Count	Frequency (%)
(	317	91.6%
[	22	6.4%
【	3	0.9%
（	3	0.9%
「	1	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	321	91.7%
]	22	6.3%
】	3	0.9%
）	3	0.9%
」	1	0.3%

Final Punctuation

Value	Count	Frequency (%)
’	19	90.5%
”	1	4.8%
»	1	4.8%

Space Separator

Value	Count	Frequency (%)
	31738	> 99.9%
	1	< 0.1%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Modifier Letter

Value	Count	Frequency (%)
ー	8	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	201621	82.6%
Common	42034	17.2%
Arabic	86	< 0.1%
Hangul	76	< 0.1%
Han	70	< 0.1%
Katakana	59	< 0.1%
Cyrillic	58	< 0.1%
Bengali	18	< 0.1%
Khmer	13	< 0.1%
Ethiopic	13	< 0.1%
Other values (6)	41	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	31738	75.5%
-	2502	6.0%
:	999	2.4%
&	979	2.3%
,	901	2.1%
.	587	1.4%
0	463	1.1%
2	452	1.1%
1	440	1.0%
)	321	0.8%
Other values (98)	2652	6.3%

Latin

Value	Count	Frequency (%)
e	19418	9.6%
a	14836	7.4%
o	13636	6.8%
r	13241	6.6%
i	12140	6.0%
t	10334	5.1%
n	9846	4.9%
s	8716	4.3%
l	8546	4.2%
c	4924	2.4%
Other values (87)	85984	42.6%

Han

Value	Count	Frequency (%)
恋	3	4.3%
女	2	2.9%
性	2	2.9%
向	2	2.9%
愛	2	2.9%
国	2	2.9%
哈	2	2.9%
象	1	1.4%
棋	1	1.4%
发	1	1.4%
Other values (52)	52	74.3%

Hangul

Value	Count	Frequency (%)
인	6	7.9%
카	4	5.3%
방	3	3.9%
송	3	3.9%
드	2	2.6%
포	2	2.6%
트	2	2.6%
사	2	2.6%
용	2	2.6%
터	2	2.6%
Other values (47)	48	63.2%

Katakana

Value	Count	Frequency (%)
イ	6	10.2%
ゲ	5	8.5%
ム	4	6.8%
レ	3	5.1%
ン	3	5.1%
ル	3	5.1%
リ	3	5.1%
ス	3	5.1%
ジ	2	3.4%
グ	2	3.4%
Other values (24)	25	42.4%

Cyrillic

Value	Count	Frequency (%)
и	6	10.3%
е	5	8.6%
о	4	6.9%
в	3	5.2%
л	3	5.2%
с	3	5.2%
Р	3	5.2%
т	3	5.2%
б	2	3.4%
ъ	2	3.4%
Other values (17)	24	41.4%

Arabic

Value	Count	Frequency (%)
ا	13	15.1%
ر	9	10.5%
ل	7	8.1%
ب	5	5.8%
ق	5	5.8%
ح	5	5.8%
ع	4	4.7%
ن	4	4.7%
ي	4	4.7%
و	4	4.7%
Other values (16)	26	30.2%

Ethiopic

Value	Count	Frequency (%)
መ	1	7.7%
ጽ	1	7.7%
ሐ	1	7.7%
ፍ	1	7.7%
ቅ	1	7.7%
ዱ	1	7.7%
ሳ	1	7.7%
ዊ	1	7.7%
ጥ	1	7.7%
ያ	1	7.7%
Other values (3)	3	23.1%

Bengali

Value	Count	Frequency (%)
া	4	22.2%
ব	2	11.1%
ং	2	11.1%
ল	2	11.1%
ি	2	11.1%
ট	1	5.6%
ভ	1	5.6%
প	1	5.6%
্	1	5.6%
র	1	5.6%

Khmer

Value	Count	Frequency (%)
ន	2	15.4%
ា	2	15.4%
រ	1	7.7%
ឿ	1	7.7%
ង	1	7.7%
ិ	1	7.7%
ទ	1	7.7%
ត	1	7.7%
ឥ	1	7.7%
ស	1	7.7%

Devanagari

Value	Count	Frequency (%)
ा	2	18.2%
्	2	18.2%
र	2	18.2%
प	1	9.1%
त	1	9.1%
ो	1	9.1%
ग	1	9.1%
म	1	9.1%

Hiragana

Value	Count	Frequency (%)
け	2	25.0%
ご	1	12.5%
く	1	12.5%
を	1	12.5%
む	1	12.5%
あ	1	12.5%
な	1	12.5%

Greek

Value	Count	Frequency (%)
σ	2	28.6%
β	1	14.3%
Σ	1	14.3%
Α	1	14.3%
Ε	1	14.3%
Κ	1	14.3%

Hebrew

Value	Count	Frequency (%)
ה	1	20.0%
פ	1	20.0%
ק	1	20.0%
ו	1	20.0%
ת	1	20.0%

Myanmar

Value	Count	Frequency (%)
သ	1	20.0%
ိ	1	20.0%
င	1	20.0%
်	1	20.0%
္	1	20.0%

Inherited

Value	Count	Frequency (%)
️	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	242988	99.5%
Latin 1 Sup	207	0.1%
Punctuation	197	0.1%
Letterlike Symbols	100	< 0.1%
Arabic	86	< 0.1%
Hangul	76	< 0.1%
CJK	70	< 0.1%
None	69	< 0.1%
Katakana	67	< 0.1%
Cyrillic	58	< 0.1%
Other values (19)	171	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	31738	13.1%
e	19418	8.0%
a	14836	6.1%
o	13636	5.6%
r	13241	5.4%
i	12140	5.0%
t	10334	4.3%
n	9846	4.1%
s	8716	3.6%
l	8546	3.5%
Other values (77)	100537	41.4%

Letterlike Symbols

Value	Count	Frequency (%)
™	99	99.0%
℠	1	1.0%

Latin 1 Sup

Value	Count	Frequency (%)
®	56	27.1%
é	33	15.9%
á	19	9.2%
í	19	9.2%
·	10	4.8%
ü	8	3.9%
ñ	6	2.9%
ú	6	2.9%
ö	4	1.9%
ó	4	1.9%
Other values (24)	42	20.3%

Punctuation

Value	Count	Frequency (%)
–	146	74.1%
—	21	10.7%
’	19	9.6%
•	5	2.5%
‐	2	1.0%
‼	1	0.5%
―	1	0.5%
“	1	0.5%
”	1	0.5%

Cyrillic

Value	Count	Frequency (%)
и	6	10.3%
е	5	8.6%
о	4	6.9%
в	3	5.2%
л	3	5.2%
с	3	5.2%
Р	3	5.2%
т	3	5.2%
б	2	3.4%
ъ	2	3.4%
Other values (17)	24	41.4%

Hangul

Value	Count	Frequency (%)
인	6	7.9%
카	4	5.3%
방	3	3.9%
송	3	3.9%
드	2	2.6%
포	2	2.6%
트	2	2.6%
사	2	2.6%
용	2	2.6%
터	2	2.6%
Other values (47)	48	63.2%

VS

Value	Count	Frequency (%)
️	5	100.0%

None

Value	Count	Frequency (%)
🔥	6	8.7%
🍀	6	8.7%
【	3	4.3%
】	3	4.3%
（	3	4.3%
）	3	4.3%
、	3	4.3%
🎨	3	4.3%
💎	2	2.9%
－	2	2.9%
Other values (31)	35	50.7%

Katakana

Value	Count	Frequency (%)
ー	8	11.9%
イ	6	9.0%
ゲ	5	7.5%
ム	4	6.0%
レ	3	4.5%
ン	3	4.5%
ル	3	4.5%
リ	3	4.5%
ス	3	4.5%
ジ	2	3.0%
Other values (25)	27	40.3%

CJK

Value	Count	Frequency (%)
恋	3	4.3%
女	2	2.9%
性	2	2.9%
向	2	2.9%
愛	2	2.9%
国	2	2.9%
哈	2	2.9%
象	1	1.4%
棋	1	1.4%
发	1	1.4%
Other values (52)	52	74.3%

Math Operators

Value	Count	Frequency (%)
∞	1	50.0%
≡	1	50.0%

Latin Ext A

Value	Count	Frequency (%)
ı	16	30.2%
İ	14	26.4%
Ž	4	7.5%
č	3	5.7%
Š	2	3.8%
ğ	2	3.8%
ř	2	3.8%
ž	2	3.8%
š	2	3.8%
ů	1	1.9%
Other values (5)	5	9.4%

Emoticons

Value	Count	Frequency (%)
😘	1	20.0%
😜	1	20.0%
😄	1	20.0%
😂	1	20.0%
😍	1	20.0%

Misc Symbols

Value	Count	Frequency (%)
★	5	45.5%
♥	4	36.4%
♪	2	18.2%

Latin Ext Additional

Value	Count	Frequency (%)
ệ	2	66.7%
ậ	1	33.3%

Arrows

Value	Count	Frequency (%)
↔	1	100.0%

Dingbats

Value	Count	Frequency (%)
❤	5	50.0%
✨	3	30.0%
✔	2	20.0%

Hiragana

Value	Count	Frequency (%)
け	2	25.0%
ご	1	12.5%
く	1	12.5%
を	1	12.5%
む	1	12.5%
あ	1	12.5%
な	1	12.5%

Geometric Shapes

Value	Count	Frequency (%)
◆	2	66.7%
►	1	33.3%

Bengali

Value	Count	Frequency (%)
া	4	22.2%
ব	2	11.1%
ং	2	11.1%
ল	2	11.1%
ি	2	11.1%
ট	1	5.6%
ভ	1	5.6%
প	1	5.6%
্	1	5.6%
র	1	5.6%

Arabic

Value	Count	Frequency (%)
ا	13	15.1%
ر	9	10.5%
ل	7	8.1%
ب	5	5.8%
ق	5	5.8%
ح	5	5.8%
ع	4	4.7%
ن	4	4.7%
ي	4	4.7%
و	4	4.7%
Other values (16)	26	30.2%

Devanagari

Value	Count	Frequency (%)
ा	2	18.2%
्	2	18.2%
र	2	18.2%
प	1	9.1%
त	1	9.1%
ो	1	9.1%
ग	1	9.1%
म	1	9.1%

Enclosed Alphanum Sup

Value	Count	Frequency (%)
🇺	1	50.0%
🇸	1	50.0%

IPA Ext

Value	Count	Frequency (%)
ə	2	100.0%

Misc Technical

Value	Count	Frequency (%)
⏰	1	100.0%

Hebrew

Value	Count	Frequency (%)
ה	1	20.0%
פ	1	20.0%
ק	1	20.0%
ו	1	20.0%
ת	1	20.0%

Khmer

Value	Count	Frequency (%)
ន	2	15.4%
ា	2	15.4%
រ	1	7.7%
ឿ	1	7.7%
ង	1	7.7%
ិ	1	7.7%
ទ	1	7.7%
ត	1	7.7%
ឥ	1	7.7%
ស	1	7.7%

Ethiopic

Value	Count	Frequency (%)
መ	1	7.7%
ጽ	1	7.7%
ሐ	1	7.7%
ፍ	1	7.7%
ቅ	1	7.7%
ዱ	1	7.7%
ሳ	1	7.7%
ዊ	1	7.7%
ጥ	1	7.7%
ያ	1	7.7%
Other values (3)	3	23.1%

Myanmar

Value	Count	Frequency (%)
သ	1	20.0%
ိ	1	20.0%
င	1	20.0%
်	1	20.0%
္	1	20.0%

Category
Categorical

HIGH CORRELATION

Distinct	33
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

FAMILY	1972
GAME	1144
TOOLS	843
MEDICAL	463
BUSINESS	460
Other values (28)	5958

Length

Max length	19
Median length	7
Mean length	9.024446494
Min length	4

Characters and Unicode

Total characters	97825
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GAME
2nd row	PRODUCTIVITY
3rd row	FAMILY
4th row	MEDICAL
5th row	COMMUNICATION

Common Values

Value	Count	Frequency (%)
FAMILY	1972	18.2%
GAME	1144	10.6%
TOOLS	843	7.8%
MEDICAL	463	4.3%
BUSINESS	460	4.2%
PRODUCTIVITY	424	3.9%
PERSONALIZATION	392	3.6%
COMMUNICATION	387	3.6%
SPORTS	384	3.5%
LIFESTYLE	382	3.5%
Other values (23)	3989	36.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
family	1972	18.2%
game	1144	10.6%
tools	843	7.8%
medical	463	4.3%
business	460	4.2%
productivity	424	3.9%
personalization	392	3.6%
communication	387	3.6%
sports	384	3.5%
lifestyle	382	3.5%
Other values (23)	3989	36.8%

Most occurring characters

Value	Count	Frequency (%)
A	10424	10.7%
I	8783	9.0%
E	7958	8.1%
N	7335	7.5%
O	7125	7.3%
S	6558	6.7%
L	6189	6.3%
T	5894	6.0%
M	5155	5.3%
_	3575	3.7%
Other values (14)	28829	29.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	94250	96.3%
Connector Punctuation	3575	3.7%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10424	11.1%
I	8783	9.3%
E	7958	8.4%
N	7335	7.8%
O	7125	7.6%
S	6558	7.0%
L	6189	6.6%
T	5894	6.3%
M	5155	5.5%
D	3556	3.8%
Other values (13)	25273	26.8%

Connector Punctuation

Value	Count	Frequency (%)
_	3575	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94250	96.3%
Common	3575	3.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	10424	11.1%
I	8783	9.3%
E	7958	8.4%
N	7335	7.8%
O	7125	7.6%
S	6558	7.0%
L	6189	6.6%
T	5894	6.3%
M	5155	5.5%
D	3556	3.8%
Other values (13)	25273	26.8%

Common

Value	Count	Frequency (%)
_	3575	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97825	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	10424	10.7%
I	8783	9.0%
E	7958	8.1%
N	7335	7.5%
O	7125	7.3%
S	6558	6.7%
L	6189	6.3%
T	5894	6.0%
M	5155	5.3%
_	3575	3.7%
Other values (14)	28829	29.5%

Rating
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.206476015

Minimum	1
Maximum	5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3.3
Q1	4.1
median	4.3
Q3	4.5
95-th percentile	4.8
Maximum	5
Range	4
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.4803419861
Coefficient of variation (CV)	0.1141910674
Kurtosis	7.295937667
Mean	4.206476015
Median Absolute Deviation (MAD)	0.2
Skewness	-2.062518556
Sum	45598.2
Variance	0.2307284236
Monotonicity	Increasing

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
4.3	2550	23.5%
4.4	1109	10.2%
4.5	1038	9.6%
4.2	952	8.8%
4.6	823	7.6%
4.1	708	6.5%
4	568	5.2%
4.7	499	4.6%
3.9	386	3.6%
3.8	303	2.8%
Other values (29)	1904	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	16	0.1%
1.2	1	< 0.1%
1.4	3	< 0.1%
1.5	3	< 0.1%
1.6	4	< 0.1%
1.7	8	0.1%
1.8	8	0.1%
1.9	13	0.1%
2	12	0.1%
2.1	8	0.1%

Value	Count	Frequency (%)
5	274	2.5%
4.9	87	0.8%
4.8	234	2.2%
4.7	499	4.6%
4.6	823	7.6%
4.5	1038	9.6%
4.4	1109	10.2%
4.3	2550	23.5%
4.2	952	8.8%
4.1	708	6.5%

Reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6001
Distinct (%)	55.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	444152.896

Minimum	0
Maximum	78158306
Zeros	596
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	38
median	2094
Q3	54775.5
95-th percentile	1462042.65
Maximum	78158306
Range	78158306
Interquartile range (IQR)	54737.5

Descriptive statistics

Standard deviation	2927760.604
Coefficient of variation (CV)	6.591785464
Kurtosis	341.0603558
Mean	444152.896
Median Absolute Deviation (MAD)	2094
Skewness	16.44958434
Sum	4814617393
Variance	8.571782154 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	596	5.5%
1	272	2.5%
2	214	2.0%
3	175	1.6%
4	137	1.3%
5	108	1.0%
6	97	0.9%
7	90	0.8%
8	74	0.7%
9	65	0.6%
Other values (5991)	9012	83.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	596	5.5%
1	272	2.5%
2	214	2.0%
3	175	1.6%
4	137	1.3%
5	108	1.0%
6	97	0.9%
7	90	0.8%
8	74	0.7%
9	65	0.6%

Value	Count	Frequency (%)
78158306	1	< 0.1%
78128208	1	< 0.1%
69119316	2	< 0.1%
69109672	1	< 0.1%
66577446	1	< 0.1%
66577313	2	< 0.1%
66509917	1	< 0.1%
56646578	1	< 0.1%
56642847	2	< 0.1%
44893888	1	< 0.1%

Size
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	460
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.51550853

Minimum	0.0085
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0.0085
5-th percentile	1.6
Q1	5.9
median	18
Q3	26
95-th percentile	69
Maximum	100
Range	99.9915
Interquartile range (IQR)	20.1

Descriptive statistics

Standard deviation	20.74749471
Coefficient of variation (CV)	0.9643041753
Kurtosis	2.836350148
Mean	21.51550853
Median Absolute Deviation (MAD)	11
Skewness	1.695678367
Sum	233228.1125
Variance	430.4585368
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
21.51	1695	15.6%
11	198	1.8%
12	196	1.8%
14	194	1.8%
13	191	1.8%
15	184	1.7%
17	160	1.5%
19	154	1.4%
16	149	1.4%
26	149	1.4%
Other values (450)	7570	69.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0085	1	< 0.1%
0.011	1	< 0.1%
0.014	1	< 0.1%
0.017	2	< 0.1%
0.018	2	< 0.1%
0.02	1	< 0.1%
0.023	1	< 0.1%
0.024	1	< 0.1%
0.025	1	< 0.1%
0.026	2	< 0.1%

Value	Count	Frequency (%)
100	16	0.1%
99	39	0.4%
98	16	0.1%
97	20	0.2%
96	26	0.2%
95	18	0.2%
94	17	0.2%
93	16	0.1%
92	15	0.1%
91	22	0.2%

Installs
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15464338.88

Minimum	0
Maximum	1000000000
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	1000
median	100000
Q3	5000000
95-th percentile	50000000
Maximum	1000000000
Range	1000000000
Interquartile range (IQR)	4999000

Descriptive statistics

Standard deviation	85029361.4
Coefficient of variation (CV)	5.498415551
Kurtosis	100.280006
Mean	15464338.88
Median Absolute Deviation (MAD)	99990
Skewness	9.572066755
Sum	1.676334335 × 10¹¹
Variance	7.229992299 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
1000000	1579	14.6%
10000000	1252	11.5%
100000	1169	10.8%
10000	1054	9.7%
1000	907	8.4%
5000000	752	6.9%
100	719	6.6%
500000	539	5.0%
50000	479	4.4%
5000	477	4.4%
Other values (10)	1913	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	0.1%
1	67	0.6%
5	82	0.8%
10	386	3.6%
50	205	1.9%
100	719	6.6%
500	330	3.0%
1000	907	8.4%
5000	477	4.4%
10000	1054	9.7%

Value	Count	Frequency (%)
1000000000	58	0.5%
500000000	72	0.7%
100000000	409	3.8%
50000000	289	2.7%
10000000	1252	11.5%
5000000	752	6.9%
1000000	1579	14.6%
500000	539	5.0%
100000	1169	10.8%
50000	479	4.4%

Type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

Free	10040
Paid	800

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	43360
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Free
2nd row	Free
3rd row	Free
4th row	Free
5th row	Free

Common Values

Value	Count	Frequency (%)
Free	10040	92.6%
Paid	800	7.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
free	10040	92.6%
paid	800	7.4%

Most occurring characters

Value	Count	Frequency (%)
e	20080	46.3%
F	10040	23.2%
r	10040	23.2%
P	800	1.8%
a	800	1.8%
i	800	1.8%
d	800	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32520	75.0%
Uppercase Letter	10840	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20080	61.7%
r	10040	30.9%
a	800	2.5%
i	800	2.5%
d	800	2.5%

Uppercase Letter

Value	Count	Frequency (%)
F	10040	92.6%
P	800	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43360	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20080	46.3%
F	10040	23.2%
r	10040	23.2%
P	800	1.8%
a	800	1.8%
i	800	1.8%
d	800	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43360	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20080	46.3%
F	10040	23.2%
r	10040	23.2%
P	800	1.8%
a	800	1.8%
i	800	1.8%
d	800	1.8%

Price
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	92
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.027368081

Minimum	0
Maximum	400
Zeros	10040
Zeros (%)	92.6%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1.99
Maximum	400
Range	400
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.94970347
Coefficient of variation (CV)	15.52481896
Kurtosis	578.1429983
Mean	1.027368081
Median Absolute Deviation (MAD)	0
Skewness	23.70739238
Sum	11136.67
Variance	254.3930408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10040	92.6%
0.99	148	1.4%
2.99	129	1.2%
1.99	73	0.7%
4.99	72	0.7%
3.99	63	0.6%
1.49	46	0.4%
5.99	30	0.3%
2.49	26	0.2%
9.99	21	0.2%
Other values (82)	192	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10040	92.6%
0.99	148	1.4%
1	3	< 0.1%
1.04	1	< 0.1%
1.2	1	< 0.1%
1.26	1	< 0.1%
1.29	1	< 0.1%
1.49	46	0.4%
1.5	1	< 0.1%
1.59	1	< 0.1%

Value	Count	Frequency (%)
400	1	< 0.1%
399.99	12	0.1%
394.99	1	< 0.1%
389.99	1	< 0.1%
379.99	1	< 0.1%
299.99	1	< 0.1%
200	1	< 0.1%
154.99	1	< 0.1%
109.99	1	< 0.1%
89.99	1	< 0.1%

Content Rating
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

Everyone	8714
Teen	1208
Mature 17+	499
Everyone 10+	414
Adults only 18+	3

Length

Max length	15
Median length	8
Mean length	7.800830258
Min length	4

Characters and Unicode

Total characters	84561
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Everyone
2nd row	Everyone
3rd row	Everyone
4th row	Everyone
5th row	Everyone

Common Values

Value	Count	Frequency (%)
Everyone	8714	80.4%
Teen	1208	11.1%
Mature 17+	499	4.6%
Everyone 10+	414	3.8%
Adults only 18+	3	< 0.1%
Unrated	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
everyone	9128	77.6%
teen	1208	10.3%
mature	499	4.2%
17	499	4.2%
10	414	3.5%
adults	3	< 0.1%
only	3	< 0.1%
18	3	< 0.1%
unrated	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	21173	25.0%
n	10341	12.2%
r	9629	11.4%
y	9131	10.8%
o	9131	10.8%
E	9128	10.8%
v	9128	10.8%
T	1208	1.4%
	919	1.1%
1	916	1.1%
Other values (13)	3857	4.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	70054	82.8%
Uppercase Letter	10840	12.8%
Decimal Number	1832	2.2%
Space Separator	919	1.1%
Math Symbol	916	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	21173	30.2%
n	10341	14.8%
r	9629	13.7%
y	9131	13.0%
o	9131	13.0%
v	9128	13.0%
t	504	0.7%
u	502	0.7%
a	501	0.7%
l	6	< 0.1%
Other values (2)	8	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
E	9128	84.2%
T	1208	11.1%
M	499	4.6%
A	3	< 0.1%
U	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
1	916	50.0%
7	499	27.2%
0	414	22.6%
8	3	0.2%

Space Separator

Value	Count	Frequency (%)
	919	100.0%

Math Symbol

Value	Count	Frequency (%)
+	916	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	80894	95.7%
Common	3667	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	21173	26.2%
n	10341	12.8%
r	9629	11.9%
y	9131	11.3%
o	9131	11.3%
E	9128	11.3%
v	9128	11.3%
T	1208	1.5%
t	504	0.6%
u	502	0.6%
Other values (7)	1019	1.3%

Common

Value	Count	Frequency (%)
	919	25.1%
1	916	25.0%
+	916	25.0%
7	499	13.6%
0	414	11.3%
8	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	84561	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	21173	25.0%
n	10341	12.2%
r	9629	11.4%
y	9131	10.8%
o	9131	10.8%
E	9128	10.8%
v	9128	10.8%
T	1208	1.4%
	919	1.1%
1	916	1.1%
Other values (13)	3857	4.6%

Genres
Categorical

HIGH CARDINALITY

Distinct	119
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

Tools	842
Entertainment	623
Education	549
Medical	463
Business	460
Other values (114)	7903

Length

Max length	37
Median length	9
Mean length	10.42204797
Min length	4

Characters and Unicode

Total characters	112975
Distinct characters	43
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	0.2%

Sample

1st row	Card
2nd row	Productivity
3rd row	Education
4th row	Medical
5th row	Communication

Common Values

Value	Count	Frequency (%)
Tools	842	7.8%
Entertainment	623	5.7%
Education	549	5.1%
Medical	463	4.3%
Business	460	4.2%
Productivity	424	3.9%
Sports	398	3.7%
Personalization	392	3.6%
Communication	387	3.6%
Lifestyle	381	3.5%
Other values (109)	5921	54.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	2073	13.4%
tools	842	5.5%
entertainment	623	4.0%
education	549	3.6%
medical	463	3.0%
business	460	3.0%
productivity	424	2.7%
sports	398	2.6%
personalization	392	2.5%
communication	387	2.5%
Other values (125)	8836	57.2%

Most occurring characters

Value	Count	Frequency (%)
i	9816	8.7%
o	9089	8.0%
e	8939	7.9%
n	8905	7.9%
t	8623	7.6%
a	8618	7.6%
s	6282	5.6%
	4607	4.1%
l	4601	4.1%
r	4532	4.0%
Other values (33)	38963	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91925	81.4%
Uppercase Letter	13872	12.3%
Space Separator	4607	4.1%
Other Punctuation	2571	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	9816	10.7%
o	9089	9.9%
e	8939	9.7%
n	8905	9.7%
t	8623	9.4%
a	8618	9.4%
s	6282	6.8%
l	4601	5.0%
r	4532	4.9%
c	4395	4.8%
Other values (13)	18125	19.7%

Uppercase Letter

Value	Count	Frequency (%)
P	1859	13.4%
E	1782	12.8%
S	1286	9.3%
A	1141	8.2%
T	1140	8.2%
M	956	6.9%
B	880	6.3%
C	845	6.1%
F	836	6.0%
L	726	5.2%
Other values (7)	2421	17.5%

Other Punctuation

Value	Count	Frequency (%)
&	2073	80.6%
;	498	19.4%

Space Separator

Value	Count	Frequency (%)
	4607	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105797	93.6%
Common	7178	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	9816	9.3%
o	9089	8.6%
e	8939	8.4%
n	8905	8.4%
t	8623	8.2%
a	8618	8.1%
s	6282	5.9%
l	4601	4.3%
r	4532	4.3%
c	4395	4.2%
Other values (30)	31997	30.2%

Common

Value	Count	Frequency (%)
	4607	64.2%
&	2073	28.9%
;	498	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	112975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	9816	8.7%
o	9089	8.0%
e	8939	7.9%
n	8905	7.9%
t	8623	7.6%
a	8618	7.6%
s	6282	5.6%
	4607	4.1%
l	4601	4.1%
r	4532	4.0%
Other values (33)	38963	34.5%

Last Updated
Categorical

HIGH CARDINALITY

Distinct	1377
Distinct (%)	12.7%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

August 3, 2018	326
August 2, 2018	304
July 31, 2018	294
August 1, 2018	285
July 30, 2018	211
Other values (1372)	9420

Length

Max length	18
Median length	13
Mean length	13.87629151
Min length	11

Characters and Unicode

Total characters	150419
Distinct characters	38
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	423 ?
Unique (%)	3.9%

Sample

1st row	May 21, 2018
2nd row	March 15, 2018
3rd row	July 27, 2018
4th row	May 1, 2017
5th row	October 6, 2017

Common Values

Value	Count	Frequency (%)
August 3, 2018	326	3.0%
August 2, 2018	304	2.8%
July 31, 2018	294	2.7%
August 1, 2018	285	2.6%
July 30, 2018	211	1.9%
July 25, 2018	164	1.5%
July 26, 2018	161	1.5%
August 6, 2018	158	1.5%
July 27, 2018	151	1.4%
July 24, 2018	148	1.4%
Other values (1367)	8638	79.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2018	7349	22.6%
july	3163	9.7%
2017	1867	5.7%
august	1594	4.9%
june	1273	3.9%
may	978	3.0%
2016	804	2.5%
march	667	2.1%
april	616	1.9%
3	603	1.9%
Other values (42)	13606	41.8%

Most occurring characters

Value	Count	Frequency (%)
	21680	14.4%
2	15426	10.3%
1	15321	10.2%
0	11819	7.9%
,	10840	7.2%
u	8648	5.7%
8	8202	5.5%
e	5198	3.5%
y	5165	3.4%
J	4927	3.3%
Other values (28)	43193	28.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	61425	40.8%
Lowercase Letter	45634	30.3%
Space Separator	21680	14.4%
Uppercase Letter	10840	7.2%
Other Punctuation	10840	7.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	8648	19.0%
e	5198	11.4%
y	5165	11.3%
r	4365	9.6%
l	3779	8.3%
a	3160	6.9%
t	2306	5.1%
b	2058	4.5%
n	1764	3.9%
g	1594	3.5%
Other values (8)	7597	16.6%

Decimal Number

Value	Count	Frequency (%)
2	15426	25.1%
1	15321	24.9%
0	11819	19.2%
8	8202	13.4%
7	2838	4.6%
3	2215	3.6%
6	1996	3.2%
5	1541	2.5%
4	1131	1.8%
9	936	1.5%

Uppercase Letter

Value	Count	Frequency (%)
J	4927	45.5%
A	2210	20.4%
M	1645	15.2%
F	533	4.9%
D	426	3.9%
O	398	3.7%
N	387	3.6%
S	314	2.9%

Space Separator

Value	Count	Frequency (%)
	21680	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	10840	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	93945	62.5%
Latin	56474	37.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	8648	15.3%
e	5198	9.2%
y	5165	9.1%
J	4927	8.7%
r	4365	7.7%
l	3779	6.7%
a	3160	5.6%
t	2306	4.1%
A	2210	3.9%
b	2058	3.6%
Other values (16)	14658	26.0%

Common

Value	Count	Frequency (%)
	21680	23.1%
2	15426	16.4%
1	15321	16.3%
0	11819	12.6%
,	10840	11.5%
8	8202	8.7%
7	2838	3.0%
3	2215	2.4%
6	1996	2.1%
5	1541	1.6%
Other values (2)	2067	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150419	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	21680	14.4%
2	15426	10.3%
1	15321	10.2%
0	11819	7.9%
,	10840	7.2%
u	8648	5.7%
8	8202	5.5%
e	5198	3.5%
y	5165	3.4%
J	4927	3.3%
Other values (28)	43193	28.7%

Current Ver
Categorical

HIGH CARDINALITY

Distinct	2831
Distinct (%)	26.1%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

Varies with device	1467
1.0	809
1.1	264
1.2	178
2.0	151
Other values (2826)	7971

Length

Max length	50
Median length	5
Mean length	6.881549815
Min length	1

Characters and Unicode

Total characters	74596
Distinct characters	79
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1810 ?
Unique (%)	16.7%

Sample

1st row	6.2-sayc
2nd row	41.9
3rd row	5.33.3669
4th row	300000.0.81
5th row	1.0

Common Values

Value	Count	Frequency (%)
Varies with device	1467	13.5%
1.0	809	7.5%
1.1	264	2.4%
1.2	178	1.6%
2.0	151	1.4%
1.3	145	1.3%
1.0.0	136	1.3%
1.0.1	119	1.1%
1.4	88	0.8%
1.5	81	0.7%
Other values (2821)	7402	68.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
device	1467	10.5%
varies	1467	10.5%
with	1467	10.5%
1.0	814	5.8%
1.1	266	1.9%
1.2	178	1.3%
2.0	154	1.1%
1.3	147	1.1%
1.0.0	136	1.0%
1.0.1	120	0.9%
Other values (2867)	7734	55.4%

Most occurring characters

Value	Count	Frequency (%)
.	15513	20.8%
1	8916	12.0%
0	5818	7.8%
e	4532	6.1%
i	4488	6.0%
2	4316	5.8%
	3110	4.2%
3	2771	3.7%
4	2164	2.9%
5	1729	2.3%
Other values (69)	21239	28.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	30681	41.1%
Lowercase Letter	23223	31.1%
Other Punctuation	15526	20.8%
Space Separator	3110	4.2%
Uppercase Letter	1770	2.4%
Dash Punctuation	133	0.2%
Connector Punctuation	61	0.1%
Open Punctuation	39	0.1%
Close Punctuation	39	0.1%
Math Symbol	12	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4532	19.5%
i	4488	19.3%
a	1587	6.8%
r	1573	6.8%
d	1559	6.7%
v	1525	6.6%
s	1514	6.5%
t	1514	6.5%
c	1508	6.5%
w	1485	6.4%
Other values (16)	1938	8.3%

Uppercase Letter

Value	Count	Frequency (%)
V	1487	84.0%
A	31	1.8%
C	24	1.4%
R	24	1.4%
B	21	1.2%
P	21	1.2%
E	18	1.0%
S	18	1.0%
T	16	0.9%
D	15	0.8%
Other values (15)	95	5.4%

Decimal Number

Value	Count	Frequency (%)
1	8916	29.1%
0	5818	19.0%
2	4316	14.1%
3	2771	9.0%
4	2164	7.1%
5	1729	5.6%
6	1437	4.7%
7	1339	4.4%
8	1169	3.8%
9	1022	3.3%

Other Punctuation

Value	Count	Frequency (%)
.	15513	99.9%
/	4	< 0.1%
,	4	< 0.1%
:	3	< 0.1%
;	1	< 0.1%
'	1	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	132	99.2%
–	1	0.8%

Open Punctuation

Value	Count	Frequency (%)
(	38	97.4%
[	1	2.6%

Close Punctuation

Value	Count	Frequency (%)
)	38	97.4%
]	1	2.6%

Math Symbol

Value	Count	Frequency (%)
+	9	75.0%
\|	3	25.0%

Space Separator

Value	Count	Frequency (%)
	3110	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	61	100.0%

Other Symbol

Value	Count	Frequency (%)
®	1	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	49603	66.5%
Latin	24993	33.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4532	18.1%
i	4488	18.0%
a	1587	6.3%
r	1573	6.3%
d	1559	6.2%
v	1525	6.1%
s	1514	6.1%
t	1514	6.1%
c	1508	6.0%
V	1487	5.9%
Other values (41)	3706	14.8%

Common

Value	Count	Frequency (%)
.	15513	31.3%
1	8916	18.0%
0	5818	11.7%
2	4316	8.7%
	3110	6.3%
3	2771	5.6%
4	2164	4.4%
5	1729	3.5%
6	1437	2.9%
7	1339	2.7%
Other values (18)	2490	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	74592	> 99.9%
Latin 1 Sup	3	< 0.1%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	15513	20.8%
1	8916	12.0%
0	5818	7.8%
e	4532	6.1%
i	4488	6.0%
2	4316	5.8%
	3110	4.2%
3	2771	3.7%
4	2164	2.9%
5	1729	2.3%
Other values (65)	21235	28.5%

Punctuation

Value	Count	Frequency (%)
–	1	100.0%

Latin 1 Sup

Value	Count	Frequency (%)
®	1	33.3%
Ã	1	33.3%
³	1	33.3%

Android Ver
Categorical

HIGH CORRELATION

Distinct	33
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	84.8 KiB

4.1	2453
4.0.3	1501
4.0	1375
Varies with device	1362
4.4	980
Other values (28)	3169

Length

Max length	18
Median length	4
Mean length	6.095848708
Min length	4

Characters and Unicode

Total characters	66079
Distinct characters	25
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	< 0.1%

Sample

1st row	4.0
2nd row	4.1
3rd row	5.0
4th row	4.0.3
5th row	4.1

Common Values

Value	Count	Frequency (%)
4.1	2453	22.6%
4.0.3	1501	13.8%
4.0	1375	12.7%
Varies with device	1362	12.6%
4.4	980	9.0%
2.3	652	6.0%
5.0	601	5.5%
4.2	394	3.6%
2.3.3	281	2.6%
2.2	244	2.3%
Other values (23)	997	9.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4.1	2454	18.1%
4.0.3	1503	11.1%
4.0	1375	10.1%
varies	1362	10.0%
with	1362	10.0%
device	1362	10.0%
4.4	980	7.2%
2.3	652	4.8%
5.0	605	4.5%
4.2	394	2.9%
Other values (20)	1533	11.3%

Most occurring characters

Value	Count	Frequency (%)
	12211	18.5%
.	11284	17.1%
4	7953	12.0%
i	4086	6.2%
e	4086	6.2%
0	3877	5.9%
3	3247	4.9%
1	2782	4.2%
2	2026	3.1%
V	1362	2.1%
Other values (15)	13165	19.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	20771	31.4%
Lowercase Letter	20430	30.9%
Space Separator	12211	18.5%
Other Punctuation	11284	17.1%
Uppercase Letter	1374	2.1%
Dash Punctuation	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	4086	20.0%
e	4086	20.0%
a	1362	6.7%
r	1362	6.7%
s	1362	6.7%
w	1362	6.7%
t	1362	6.7%
h	1362	6.7%
d	1362	6.7%
v	1362	6.7%

Decimal Number

Value	Count	Frequency (%)
4	7953	38.3%
0	3877	18.7%
3	3247	15.6%
1	2782	13.4%
2	2026	9.8%
5	649	3.1%
6	177	0.9%
7	52	0.3%
8	8	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
V	1362	99.1%
W	12	0.9%

Other Punctuation

Value	Count	Frequency (%)
.	11284	100.0%

Space Separator

Value	Count	Frequency (%)
	12211	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44275	67.0%
Latin	21804	33.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	4086	18.7%
e	4086	18.7%
V	1362	6.2%
a	1362	6.2%
r	1362	6.2%
s	1362	6.2%
w	1362	6.2%
t	1362	6.2%
h	1362	6.2%
d	1362	6.2%
Other values (3)	2736	12.5%

Common

Value	Count	Frequency (%)
	12211	27.6%
.	11284	25.5%
4	7953	18.0%
0	3877	8.8%
3	3247	7.3%
1	2782	6.3%
2	2026	4.6%
5	649	1.5%
6	177	0.4%
7	52	0.1%
Other values (2)	17	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66079	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	12211	18.5%
.	11284	17.1%
4	7953	12.0%
i	4086	6.2%
e	4086	6.2%
0	3877	5.9%
3	3247	4.9%
1	2782	4.2%
2	2026	3.1%
V	1362	2.1%
Other values (15)	13165	19.9%

Earnings
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	230
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35851.42489

Minimum	0
Maximum	69900000
Zeros	10050
Zeros (%)	92.7%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	990
Maximum	69900000
Range	69900000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1065979.51
Coefficient of variation (CV)	29.73325366
Kurtosis	3598.540288
Mean	35851.42489
Median Absolute Deviation (MAD)	0
Skewness	57.6434555
Sum	388629445.8
Variance	1.136312316 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10050	92.7%
29900	29	0.3%
990	26	0.2%
299000	25	0.2%
9.9	24	0.2%
99	22	0.2%
2990	17	0.2%
499000	16	0.1%
9900	16	0.1%
19900	15	0.1%
Other values (220)	600	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	10050	92.7%
0.99	8	0.1%
1.49	4	< 0.1%
1.99	1	< 0.1%
2.49	1	< 0.1%
2.99	2	< 0.1%
3.99	1	< 0.1%
4.95	5	< 0.1%
5.99	2	< 0.1%
7.45	1	< 0.1%

Value	Count	Frequency (%)
69900000	2	< 0.1%
39999000	1	< 0.1%
19999500	1	< 0.1%
9900000	1	< 0.1%
6990000	1	< 0.1%
5990000	4	< 0.1%
4990000	1	< 0.1%
4000000	1	< 0.1%
3999900	2	< 0.1%
3899900	1	< 0.1%

Reviews_log
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6001
Distinct (%)	55.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.211636201

Minimum	0
Maximum	7.892975143
Zeros	596
Zeros (%)	5.5%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1.591064607
median	3.321184027
Q3	4.738594267
95-th percentile	6.16496011
Maximum	7.892975143
Range	7.892975143
Interquartile range (IQR)	3.14752966

Descriptive statistics

Standard deviation	1.902933741
Coefficient of variation (CV)	0.5925122341
Kurtosis	-1.038113864
Mean	3.211636201
Median Absolute Deviation (MAD)	1.552049353
Skewness	-0.0156730911
Sum	34814.13642
Variance	3.621156821
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	596	5.5%
0.3010299957	272	2.5%
0.4771212547	214	2.0%
0.6020599913	175	1.6%
0.6989700043	137	1.3%
0.7781512504	108	1.0%
0.84509804	97	0.9%
0.903089987	90	0.8%
0.9542425094	74	0.7%
1	65	0.6%
Other values (5991)	9012	83.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	596	5.5%
0.3010299957	272	2.5%
0.4771212547	214	2.0%
0.6020599913	175	1.6%
0.6989700043	137	1.3%
0.7781512504	108	1.0%
0.84509804	97	0.9%
0.903089987	90	0.8%
0.9542425094	74	0.7%
1	65	0.6%

Value	Count	Frequency (%)
7.892975143	1	< 0.1%
7.892807869	1	< 0.1%
7.839599438	2	< 0.1%
7.839538838	1	< 0.1%
7.823327138	1	< 0.1%
7.82332627	2	< 0.1%
7.822886412	1	< 0.1%
7.753173687	1	< 0.1%
7.753145082	2	< 0.1%
7.652187228	1	< 0.1%

Installs_log
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.885467305

Minimum	0
Maximum	9
Zeros	15
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	84.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1.041392685
Q1	3.000434077
median	5.000004343
Q3	6.698970091
95-th percentile	7.698970013
Maximum	9
Range	9
Interquartile range (IQR)	3.698536014

Descriptive statistics

Standard deviation	1.966001418
Coefficient of variation (CV)	0.4024182939
Kurtosis	-0.7697792436
Mean	4.885467305
Median Absolute Deviation (MAD)	1.698965748
Skewness	-0.3037457808
Sum	52958.46559
Variance	3.865161576
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
6.000000434	1579	14.6%
7.000000043	1252	11.5%
5.000004343	1169	10.8%
4.000043427	1054	9.7%
3.000434077	907	8.4%
6.698970091	752	6.9%
2.004321374	719	6.6%
5.698970873	539	5.0%
4.69897869	479	4.4%
3.699056855	477	4.4%
Other values (10)	1913	17.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	15	0.1%
0.3010299957	67	0.6%
0.7781512504	82	0.8%
1.041392685	386	3.6%
1.707570176	205	1.9%
2.004321374	719	6.6%
2.699837726	330	3.0%
3.000434077	907	8.4%
3.699056855	477	4.4%
4.000043427	1054	9.7%

Value	Count	Frequency (%)
9	58	0.5%
8.698970005	72	0.7%
8.000000004	409	3.8%
7.698970013	289	2.7%
7.000000043	1252	11.5%
6.698970091	752	6.9%
6.000000434	1579	14.6%
5.698970873	539	5.0%
5.000004343	1169	10.8%
4.69897869	479	4.4%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	App	Category	Rating	Reviews	Size	Installs	Type	Content Rating	Genres	Last Updated	Current Ver	Android Ver	Reviews_log	Installs_log
0	6319	BJ Bridge Standard American 2018	GAME	1.0	1	4.9	1000.0	Free	Everyone	Card	May 21, 2018	6.2-sayc	4.0	0.301030	3.000434
1	7383	Thistletown CI	PRODUCTIVITY	1.0	1	6.6	100.0	Free	Everyone	Productivity	March 15, 2018	41.9	4.1	0.301030	2.004321
2	10324	FE Mechanical Engineering Prep	FAMILY	1.0	2	21.0	1000.0	Free	Everyone	Education	July 27, 2018	5.33.3669	5.0	0.477121	3.000434
3	5151	Clarksburg AH	MEDICAL	1.0	1	28.0	50.0	Free	Everyone	Medical	May 1, 2017	300000.0.81	4.0.3	0.301030	1.707570
4	7427	CJ DVD Rentals	COMMUNICATION	1.0	5	13.0	100.0	Free	Everyone	Communication	October 6, 2017	1.0	4.1	0.778151	2.004321
5	7806	CR Magazine	BUSINESS	1.0	1	7.8	100.0	Free	Everyone	Business	July 23, 2014	2.4.2	2.3.3	0.301030	2.004321
6	8875	DT future1 cam	TOOLS	1.0	1	24.0	50.0	Free	Everyone	Tools	March 27, 2018	3.1	2.2	0.301030	1.707570
7	6490	MbH BM	MEDICAL	1.0	1	2.3	100.0	Free	Everyone	Medical	December 14, 2016	1.1.3	4.3	0.301030	2.004321
8	7926	Tech CU Card Manager	FINANCE	1.0	2	7.2	1000.0	Free	Everyone	Finance	July 25, 2017	1.0.1	4.0	0.477121	3.000434
9	10591	Lottery Ticket Checker - Florida Results & Lotto	TOOLS	1.0	3	41.0	500.0	Free	Everyone	Tools	December 12, 2017	1.0	4.2	0.602060	2.699838

Last rows

	df_index	App	Category	Rating	Reviews	Size	Installs	Type	Price	Content Rating	Genres	Last Updated	Current Ver	Android Ver	Earnings	Reviews_log	Installs_log
10830	10349	Santa Fe Thrive	HEALTH_AND_FITNESS	5.0	2	8.3	50.0	Free	0.00	Everyone	Health & Fitness	July 9, 2018	4.2.2	4.1	0.0	0.477121	1.707570
10831	6783	Wifi BT Scanner	FAMILY	5.0	2	1.2	500.0	Free	0.00	Everyone	Education	November 3, 2016	1.0	4.0.3	0.0	0.477121	2.699838
10832	10629	Florida Wildflowers	FAMILY	5.0	5	69.0	1000.0	Free	0.00	Everyone	Education	July 10, 2017	1.5	4.1	0.0	0.778151	3.000434
10833	1030	Prosperity	EVENTS	5.0	16	2.3	100.0	Free	0.00	Everyone	Events	July 9, 2018	1.14	2.0	0.0	1.230449	2.004321
10834	5260	AJ Gray Dark Icon Pack	PERSONALIZATION	5.0	2	35.0	10.0	Paid	0.99	Everyone	Personalization	April 29, 2018	1.1	4.1	9.9	0.477121	1.041393
10835	7164	CD CHOICE TUBE	FAMILY	5.0	10	5.8	500.0	Free	0.00	Everyone	Entertainment	July 23, 2017	0.0.4	4.1	0.0	1.041393	2.699838
10836	5263	AJ Blue Icon Pack	PERSONALIZATION	5.0	4	31.0	50.0	Paid	0.99	Everyone	Personalization	April 27, 2018	1.1	4.1	49.5	0.698970	1.707570
10837	6363	Read it easy for BK	LIFESTYLE	5.0	1	3.2	50.0	Free	0.00	Everyone	Lifestyle	July 15, 2018	1.2	4.1	0.0	0.301030	1.707570
10838	7697	CP Installer App	BUSINESS	5.0	4	24.0	100.0	Free	0.00	Everyone	Business	July 24, 2018	5.1.1	4.1	0.0	0.698970	2.004321
10839	9039	Chronolink DX	FAMILY	5.0	7	73.0	10.0	Paid	0.99	Everyone	Puzzle	July 6, 2017	1.2	4.1	9.9	0.903090	1.041393

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Lowercase Letter

Uppercase Letter

Other Symbol

Other Punctuation

Decimal Number

Math Symbol

Nonspacing Mark

Spacing Mark

Dash Punctuation

Open Punctuation

Close Punctuation

Final Punctuation

Space Separator

Connector Punctuation

Modifier Symbol

Modifier Letter

Initial Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Han

Hangul

Katakana

Cyrillic

Arabic

Ethiopic

Bengali

Khmer

Devanagari

Hiragana

Greek

Hebrew

Myanmar

Inherited

Most occurring blocks

Most frequent character per block

ASCII

Letterlike Symbols

Latin 1 Sup

Punctuation

Cyrillic

Hangul

VS

None

Katakana

CJK

Math Operators

Latin Ext A

Emoticons

Misc Symbols

Latin Ext Additional

Arrows

Dingbats

Hiragana

Geometric Shapes

Bengali

Arabic

Devanagari

Enclosed Alphanum Sup

IPA Ext

Misc Technical

Hebrew

Khmer

Ethiopic

Myanmar

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter